Triple
T10053438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Agricultural Policy |
E208804
|
entity |
| Predicate | Pillar IType |
P91844
|
FINISHED |
| Object | income support |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: income support | Statement: [Common Agricultural Policy, Pillar IType, income support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Pillar IType Context triple: [Common Agricultural Policy, Pillar IType, income support]
-
A.
ipoType
Indicates the type or category of an entity’s initial public offering (IPO) event.
-
B.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
C.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
D.
typeOfPrimacy
Indicates that one entity holds a primary, leading, or most important status or precedence over others in a given context.
-
E.
pylonType
Indicates the specific structural or functional category that a pylon belongs to within a given context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9241208190b38e5e7a1604589c |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:57 p.m.